Token Classification
spaCy
Serbian
ner
entity-linking
wikidata
serbian
teslaxlm
latin
cyrillic
Eval Results (legacy)
Instructions to use te-sla/sr_nerel_teslaxlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use te-sla/sr_nerel_teslaxlm with spaCy:
!pip install https://huggingface.co/te-sla/sr_nerel_teslaxlm/resolve/main/sr_nerel_teslaxlm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("sr_nerel_teslaxlm") # Importing as module. import sr_nerel_teslaxlm nlp = sr_nerel_teslaxlm.load() - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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